Jović, Vesna

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e83e0d2b-4530-4488-b460-e51012809283
  • Jović, Vesna (2)
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Author's Bibliography

Artificial Neural Network for Composite Hardness Modeling of Cu/Si Systems Fabricated Using Various Electrodeposition Parameters

Mladenović, Ivana; Lamovec, Jelena; Jović, Vesna; Obradov, M.; Radulović, Katarina; Vasiljević-Radović, Dana; Radojević, Vesna

(IEEE, Electron Devices Soc & Reliability Group, New York, 2019)

TY  - CONF
AU  - Mladenović, Ivana
AU  - Lamovec, Jelena
AU  - Jović, Vesna
AU  - Obradov, M.
AU  - Radulović, Katarina
AU  - Vasiljević-Radović, Dana
AU  - Radojević, Vesna
PY  - 2019
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/4228
AB  - Copper coatings are produced on silicon wafer by electrodeposition (ED) for various cathode current densities. The resulting composite systems consist of 10 mu m monolavered copper films electrodeposited from sulphate bath on Si wafers with sputtered layers of Cr/Au. Hardness measurements were performed to evaluate properties of the composites. The composite hardness (H-c) was characterized using Vickers microindentation test. Then, an artificial neural network (ANN) model was used to study the relationship between the parameters of metallic composite and their hardness. Two experimental values: applied load during indentation test and current density during the ED process were used as the inputs to the neural network. Finally, the results of the composite hardness (experimental and predicted) were used to estimate the film hardness (H-f) of copper for each variations of the current density. This article shows that ANN is an useful tool in modeling composite hardness change with variation of experimental parameters predicting hardness change of composite Si/Cu with average error of 6 %. Using created ANN model it is possible to predict microhardness of Cu film for current density or indentation load for which we do not have experimental data.
PB  - IEEE, Electron Devices Soc & Reliability Group, New York
C3  - 2019 IEEE 31st International Conference on Microelectronics (MIEL 2019)
T1  - Artificial Neural Network for Composite Hardness Modeling of Cu/Si Systems Fabricated Using Various Electrodeposition Parameters
EP  - 136
SP  - 133
UR  - https://hdl.handle.net/21.15107/rcub_technorep_4228
ER  - 
@conference{
author = "Mladenović, Ivana and Lamovec, Jelena and Jović, Vesna and Obradov, M. and Radulović, Katarina and Vasiljević-Radović, Dana and Radojević, Vesna",
year = "2019",
abstract = "Copper coatings are produced on silicon wafer by electrodeposition (ED) for various cathode current densities. The resulting composite systems consist of 10 mu m monolavered copper films electrodeposited from sulphate bath on Si wafers with sputtered layers of Cr/Au. Hardness measurements were performed to evaluate properties of the composites. The composite hardness (H-c) was characterized using Vickers microindentation test. Then, an artificial neural network (ANN) model was used to study the relationship between the parameters of metallic composite and their hardness. Two experimental values: applied load during indentation test and current density during the ED process were used as the inputs to the neural network. Finally, the results of the composite hardness (experimental and predicted) were used to estimate the film hardness (H-f) of copper for each variations of the current density. This article shows that ANN is an useful tool in modeling composite hardness change with variation of experimental parameters predicting hardness change of composite Si/Cu with average error of 6 %. Using created ANN model it is possible to predict microhardness of Cu film for current density or indentation load for which we do not have experimental data.",
publisher = "IEEE, Electron Devices Soc & Reliability Group, New York",
journal = "2019 IEEE 31st International Conference on Microelectronics (MIEL 2019)",
title = "Artificial Neural Network for Composite Hardness Modeling of Cu/Si Systems Fabricated Using Various Electrodeposition Parameters",
pages = "136-133",
url = "https://hdl.handle.net/21.15107/rcub_technorep_4228"
}
Mladenović, I., Lamovec, J., Jović, V., Obradov, M., Radulović, K., Vasiljević-Radović, D.,& Radojević, V.. (2019). Artificial Neural Network for Composite Hardness Modeling of Cu/Si Systems Fabricated Using Various Electrodeposition Parameters. in 2019 IEEE 31st International Conference on Microelectronics (MIEL 2019)
IEEE, Electron Devices Soc & Reliability Group, New York., 133-136.
https://hdl.handle.net/21.15107/rcub_technorep_4228
Mladenović I, Lamovec J, Jović V, Obradov M, Radulović K, Vasiljević-Radović D, Radojević V. Artificial Neural Network for Composite Hardness Modeling of Cu/Si Systems Fabricated Using Various Electrodeposition Parameters. in 2019 IEEE 31st International Conference on Microelectronics (MIEL 2019). 2019;:133-136.
https://hdl.handle.net/21.15107/rcub_technorep_4228 .
Mladenović, Ivana, Lamovec, Jelena, Jović, Vesna, Obradov, M., Radulović, Katarina, Vasiljević-Radović, Dana, Radojević, Vesna, "Artificial Neural Network for Composite Hardness Modeling of Cu/Si Systems Fabricated Using Various Electrodeposition Parameters" in 2019 IEEE 31st International Conference on Microelectronics (MIEL 2019) (2019):133-136,
https://hdl.handle.net/21.15107/rcub_technorep_4228 .

Micromechanical and structural properties of nickel coatings electrodeposited on two different substrates

Lamovec, Jelena; Jović, Vesna; Aleksić, Radoslav; Radojević, Vesna

(Serbian Chemical Society, Belgrade, 2009)

TY  - JOUR
AU  - Lamovec, Jelena
AU  - Jović, Vesna
AU  - Aleksić, Radoslav
AU  - Radojević, Vesna
PY  - 2009
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/1379
AB  - Fine-structured nickel coatings were electrodeposited from a sulfamate-based electrolyte onto different substrates: polycrystalline cold-rolled copper and single crystal silicon with (111) orientation. The influence of the substrate layers and chosen plating conditions on the mechanical and structural properties of these composite structures were investigated by Vickers microhardness testing for different loads. Above a certain critical penetration depth, the measured hardness value was not the hardness of the electrodeposited film, but the so-called 'composite hardness', because the substrate also participated in the plastic deformations during the indentation process. Two composite hardness models (Chicot-Lesage and Korsunsky), constructed on different principles, were chosen and applied to the experimental data in order to distinguish film and substrate hardness. The microhardness values of the electrodeposited nickel layers were mainly influenced by the current density. Increasing the current density led to a decrease in grain size, which resulted in higher values of the microhardness.
AB  - Sitnozrne prevlake nikla su elektrodeponovane iz sulfamatnog kupatila na različitim supstratima: hladno-valjanom polikristalnom bakru i monokristalnom silicijumu (111) orijentacije. Uticaj supstrata i odabranih parametara elektrodepozicije na mehanička i strukturna svojstva ovih kompozitnih struktura ispitivan je testovima mikrotvrdoće po Vickers-u pri različitim opterećenjima. Iznad kritične dubine utiskivanja, izmerena vrednost tvrdoće nije tvrdoća elektrodeponovanog filma, već takozvana 'kompozitna mikrotvrdoća', jer supstrat učestvuje u plastičnoj deformaciji tokom procesa utiskivanja. Odabrana su dva modela kompozitne tvrdoće bazirana na različitim principima (model Chicot-Lesage i Korsunsky) i primenjena na eksperimentalne rezultate u cilju izračunavanja tvrdoće filma. Vrednosti mikrotvrdoće elektrodeponovanih prevlaka nikla zavise od vrednosti gustine struje. Povećanje gustine struje vodi smanjenju veličine zrna i povećanju vrednosti mikrotvrdoće.
PB  - Serbian Chemical Society, Belgrade
T2  - Journal of the Serbian Chemical Society
T1  - Micromechanical and structural properties of nickel coatings electrodeposited on two different substrates
T1  - Mikromehanička i strukturna svojstva elektrodeponovanih prevlaka nikla na različitim supstratima
EP  - 831
IS  - 7
SP  - 817
VL  - 74
UR  - https://hdl.handle.net/21.15107/rcub_technorep_1379
ER  - 
@article{
author = "Lamovec, Jelena and Jović, Vesna and Aleksić, Radoslav and Radojević, Vesna",
year = "2009",
abstract = "Fine-structured nickel coatings were electrodeposited from a sulfamate-based electrolyte onto different substrates: polycrystalline cold-rolled copper and single crystal silicon with (111) orientation. The influence of the substrate layers and chosen plating conditions on the mechanical and structural properties of these composite structures were investigated by Vickers microhardness testing for different loads. Above a certain critical penetration depth, the measured hardness value was not the hardness of the electrodeposited film, but the so-called 'composite hardness', because the substrate also participated in the plastic deformations during the indentation process. Two composite hardness models (Chicot-Lesage and Korsunsky), constructed on different principles, were chosen and applied to the experimental data in order to distinguish film and substrate hardness. The microhardness values of the electrodeposited nickel layers were mainly influenced by the current density. Increasing the current density led to a decrease in grain size, which resulted in higher values of the microhardness., Sitnozrne prevlake nikla su elektrodeponovane iz sulfamatnog kupatila na različitim supstratima: hladno-valjanom polikristalnom bakru i monokristalnom silicijumu (111) orijentacije. Uticaj supstrata i odabranih parametara elektrodepozicije na mehanička i strukturna svojstva ovih kompozitnih struktura ispitivan je testovima mikrotvrdoće po Vickers-u pri različitim opterećenjima. Iznad kritične dubine utiskivanja, izmerena vrednost tvrdoće nije tvrdoća elektrodeponovanog filma, već takozvana 'kompozitna mikrotvrdoća', jer supstrat učestvuje u plastičnoj deformaciji tokom procesa utiskivanja. Odabrana su dva modela kompozitne tvrdoće bazirana na različitim principima (model Chicot-Lesage i Korsunsky) i primenjena na eksperimentalne rezultate u cilju izračunavanja tvrdoće filma. Vrednosti mikrotvrdoće elektrodeponovanih prevlaka nikla zavise od vrednosti gustine struje. Povećanje gustine struje vodi smanjenju veličine zrna i povećanju vrednosti mikrotvrdoće.",
publisher = "Serbian Chemical Society, Belgrade",
journal = "Journal of the Serbian Chemical Society",
title = "Micromechanical and structural properties of nickel coatings electrodeposited on two different substrates, Mikromehanička i strukturna svojstva elektrodeponovanih prevlaka nikla na različitim supstratima",
pages = "831-817",
number = "7",
volume = "74",
url = "https://hdl.handle.net/21.15107/rcub_technorep_1379"
}
Lamovec, J., Jović, V., Aleksić, R.,& Radojević, V.. (2009). Micromechanical and structural properties of nickel coatings electrodeposited on two different substrates. in Journal of the Serbian Chemical Society
Serbian Chemical Society, Belgrade., 74(7), 817-831.
https://hdl.handle.net/21.15107/rcub_technorep_1379
Lamovec J, Jović V, Aleksić R, Radojević V. Micromechanical and structural properties of nickel coatings electrodeposited on two different substrates. in Journal of the Serbian Chemical Society. 2009;74(7):817-831.
https://hdl.handle.net/21.15107/rcub_technorep_1379 .
Lamovec, Jelena, Jović, Vesna, Aleksić, Radoslav, Radojević, Vesna, "Micromechanical and structural properties of nickel coatings electrodeposited on two different substrates" in Journal of the Serbian Chemical Society, 74, no. 7 (2009):817-831,
https://hdl.handle.net/21.15107/rcub_technorep_1379 .
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